Abstract #0387
Sparse Radial k-t SPIRiT for Dynamic Liver Imaging
Dan Zhu 1 , Feng Huang 2 , Jia Ning 1 , Feiyu Chen 1 , and Huijun Chen 1
1
Tsinghua University, Beijing, Beijing,
China,
2
Philips
Healthcare, Suzhou, Jiangsu, China
We proposed the reconstruction method of sparse radial
k-t
SPIRiT,
which combines sparsity constraint into radial
k-t
SPIRiT
for highly accelerated dynamic imaging with high
spatiotemporal resolution. The efficiency of the
proposed method was demonstrated by phantom and
in-vivo
liver
data acquired with golden angle radial trajectory. The
proposed method has higher SNR and less striking
artifacts compared to SPIRiT and radial
k-t
SPIRiT
reconstruction without sparsity constraint.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
